Paper Citation Record · LEDGER

Large Language Model Guided Self-Debugging Code Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.02928.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.02928 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:38:04.533521Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9093e539-9128-4577-8fcb-ab9fddc20710 · inbound

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems cites this paper.

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems Large Language Model Guided Self-Debugging Code Generation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T23:21:42.229303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f2bed7b5-e46f-4406-a454-c293e49ed9af · inbound

Memory in the Age of AI Agents cites this paper.

Memory in the Age of AI Agents Large Language Model Guided Self-Debugging Code Generation

Reference 235

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:18:20.586205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d6081b13-33c0-41e3-8412-955297e07671 · inbound

Microskill Architecture: A Modular Skill-Driven Framework for AI-Native Code Generation cites this paper.

Microskill Architecture: A Modular Skill-Driven Framework for AI-Native Code Generation Large Language Model Guided Self-Debugging Code Generation

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-02T14:17:02.791920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f80555c1-b40b-4d1a-aad1-05dade6dd969 · inbound

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback cites this paper.

Benchmarking Code Improvement with Progressive, Adaptive, and Interactive Feedback Large Language Model Guided Self-Debugging Code Generation

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:28:51.382722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0ee93be2-fc3d-43f6-af62-3c2abae2791c · inbound

From Evaluation to Optimisation: Hierarchy-Aware Training Signals for CWE Prediction in Python cites this paper.

From Evaluation to Optimisation: Hierarchy-Aware Training Signals for CWE Prediction in Python Large Language Model Guided Self-Debugging Code Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:04.533521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 788c7f0d-031d-42d0-b300-4651ce284af9 · inbound

MineValiCoder: Reliable Code Generation with Test Case Quality Mining and Bipartite Graph-Based Mutual Validation cites this paper.

MineValiCoder: Reliable Code Generation with Test Case Quality Mining and Bipartite Graph-Based Mutual Validation Large Language Model Guided Self-Debugging Code Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T04:45:10.996460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.